Close
Metadata

1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3Q5RJG5
Repositorysid.inpe.br/mtc-m21b/2017/12.04.12.32
Last Update2017:12.04.12.32.45 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21b/2017/12.04.12.32.45
Metadata Last Update2018:06.04.02.28.04 (UTC) administrator
ISSN1051-0761
Citation KeyFonsecaAASXXMWA:2017:ClAnDr
TitleClimatic and anthropogenic drivers of northern Amazon fires during the 2015–2016 El Ni~no event
Year2017
Access Date2024, Apr. 26
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2633 KiB
2. Context
Author1 Fonseca, Marisa G.
2 Anderson, Liana O.
3 Arai, Egidio
4 Shimabukuro, Yosio Edemir
5 Xaud, Haron A. M.
6 Xaud, Maristela R.
7 Madani, Nima
8 Wagner, Fabien Hubert
9 Aragão, Luiz Eduardo Oliveira e Cruz de
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JGUP
4 8JMKD3MGP5W/3C9JJCQ
Group1
2
3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
4 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
5
6
7
8 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
9 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Tropical Ecosystems and Environmental Sciences Laboratory (TREES)
2 Centro Nacional de Monitoramento e Alertas de Desastre Naturais (CEMADEN)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Embrapa
6 EMBRAPA
7 EMBRAPA
8 Instituto Nacional de Pesquisas Espaciais (INPE)
9 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1
2
3 egidio.arai@inpe.br
4 yosio.shimabukuro@inpe.br
5
6
7
8 fabien.wagner@inpe.br
9 luiz.aragao@inpe.br
JournalEcological Applications
Volume27
Number8
Pages2514-2527
Secondary MarkA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE A2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA
History (UTC)2017-12-04 12:32:45 :: simone -> administrator ::
2017-12-04 12:32:46 :: administrator -> simone :: 2017
2017-12-04 12:35:43 :: simone -> administrator :: 2017
2018-06-04 02:28:04 :: administrator -> simone :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsanthropogenic ignition
climate
fire modeling
hot pixels
machine learning
multivariate ENSO index
savannas
tropical forests
AbstractThe strong El Nino Southern Oscillation (ENSO) event that occurred in 2015 ~ 2016 caused extreme drought in the northern Brazilian Amazon, especially in the state of Roraima, increasing fire occurrence. Here we map the extent of precipitation and fire anomalies and quantify the effects of climatic and anthropogenic drivers on fire occurrence during the 20152016 dry season (from December 2015 to March 2016) in the state of Roraima. To achieve these objectives we first estimated the spatial pattern of precipitation anomalies, based on long-term data from the TRMM (Tropical Rainfall Measuring Mission), and the fire anomaly, based on MODIS (Moderate Resolution Imaging Spectroradiometer) active fire detections during the referred period. Then, we integrated climatic and anthropogenic drivers in a Maximum Entropy (MaxEnt) model to quantify fire probability, assessing (1) the model accuracy during the 20152016 and the 20162017 dry seasons; (2) the relative importance of each predictor variable on the model predictive performance; and (3) the response curves, showing how each environmental variable affects the fire probability. Approximately 59% (132,900 km2 ) of the study area was exposed to precipitation anomalies ≤1 standard deviation (SD) in January and ~48% (~106,800 km2 ) in March. About 38% (86,200 km2 ) of the study area experienced fire anomalies ≥1 SD in at least one month between December 2015 and March 2016. The distance to roads and the direct ENSO effect on fire occurrence were the two most influential variables on model predictive performance. Despite the improvement of governmental actions of fire prevention and firefighting in Roraima since the last intense ENSO event (19971998), we show that fire still gets out of control in the state during extreme drought events. Our results indicate that if no prevention actions are undertaken, future road network expansion and a climate-induced increase in water stress will amplify fire occurrence in the northern Amazon, even in its humid dense forests. As an additional outcome of our analysis, we conclude that the model and the data we used may help to guide on-the-ground fire-prevention actions and firefighting planning and therefore minimize fire-related ecosystems degradation, economic losses and carbon emissions in Roraima.
AreaSRE
Arrangementurlib.net > DIDSR > Climatic and anthropogenic...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 04/12/2017 10:32 1.0 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34P/3Q5RJG5
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34P/3Q5RJG5
Languageen
Target FileFonseca_et_al-2017-Ecological_Applications.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/bibdigital/2013/09.13.21.11 2
sid.inpe.br/mtc-m21/2012/07.13.14.45.03 2
DisseminationWEBSCI; PORTALCAPES.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel doi e-mailaddress format isbn label lineage mark mirrorrepository month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Description control
e-Mail (login)simone
update 


Close